Parametric Nonstationary Random Vibration Modeling with SHM Applications

[1]  Paul R. White,et al.  THE ANALYSIS OF NON-STATIONARY SIGNALS USING TIME-FREQUENCY METHODS , 1996 .

[2]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[3]  Maciej Niedzwiecki,et al.  Identification of Time-Varying Processes , 2000 .

[4]  M. B. Priestley,et al.  Non-linear and non-stationary time series analysis , 1990 .

[5]  André Preumont,et al.  Random Vibration and Spectral Analysis , 2010 .

[6]  Spilios D. Fassois,et al.  Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling , 2014, Signal Process..

[7]  Spilios D. Fassois,et al.  Non-stationary random vibration modelling and analysis via functional series time-dependent ARMA (FS-TARMA) models – A critical survey , 2014 .

[8]  Spilios D. Fassois,et al.  VibrationñBased OnñLine Fault Detection in Non-Stationary Structural Systems via a Statistical Model Based Method , 2004 .

[9]  S. Fassois,et al.  Asymptotic analysis of non-stationary functional series TAR estimators , 2007, 2007 Mediterranean Conference on Control & Automation.

[10]  Charles R. Farrar,et al.  Structural Health Monitoring: A Machine Learning Perspective , 2012 .

[11]  P. Spanos,et al.  Random vibration and statistical linearization , 1990 .

[12]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[13]  Spilios D. Fassois,et al.  Generalized Stochastic Constraint TARMA Models for In-Operation Identification of Wind Turbine Non-Stationary Dynamics , 2013 .

[14]  G. Kitagawa,et al.  Smoothness Priors in Time Series. , 1987 .

[15]  Spilios D. Fassois,et al.  Output-only stochastic identification of a time-varying structure via functional series TARMA models , 2009 .

[16]  John S. Owen,et al.  The application of auto–regressive time series modelling for the time–frequency analysis of civil engineering structures , 2001 .

[17]  G. N. Fouskitakis,et al.  Functional series TARMA modelling and simulation of earthquake ground motion , 2002 .

[18]  F. Kozin,et al.  Autoregressive moving average models of earthquake records , 1988 .

[19]  Spilios D. Fassois,et al.  An FS-TAR based method for vibration-response-based fault diagnosis in stochastic time-varying structures: Experimental application to a pick-and-place mechanism , 2013 .

[20]  Spilios D. Fassois,et al.  Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison , 2006 .

[21]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1971 .

[22]  Fulei Chu,et al.  Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples , 2013 .

[23]  T. Rao The Fitting of Non-stationary Time-series Models with Time-dependent Parameters , 1970 .

[24]  G. Kitagawa Smoothness priors analysis of time series , 1996 .